Background: One in five Americans turn to TikTok before calling their own physician. Objective: With social media on the rise as a source of health-related information, we aimed to investigate and evaluate popular content about mast cell activation syndrome (MCAS) on TikTok. Methods: Between June 14 and 16, 2024, four different MCAS-relevant phrases were searched on TikTok, and the top 50 most watched videos were analyzed independently by three subinvestigators. The global quality score (GQS) (range from 1 to 5) was applied to assess the value of the educational videos. The profession of the content creator, use of MCAS Vienna diagnostic criteria, association with postural orthostatic syndrome (POTS)/Ehlers Danlos syndrome (EDS), and information trends were also analyzed. Results: The 50 most watched MCAS-related videos collectively had > 6.5 million views, and the average number of views per video was 131,500. Most videos were created by health-care professionals (58%), including physicians (26%) and other health-care professionals (32%), whereas the minority were created by non‐health-care professionals (42%). Only one video included the MCAS Vienna criteria (2%), and 12 videos associated MCAS with POTS and/or EDS (24%). The average GQS was 1.94 (SD 0.34). Common MCAS misinformation trends included the following: inaccuracy of symptoms, diagnostic criteria, triggers, and treatment options. Conclusion: Most MCAS videos on TikTok contained misinformation, did not include key diagnostic criteria, and had poor GQS. The most viewed videos were primarily created by health-care professionals. Patients and health-care providers need to be aware of the quality of health-care information on social media.
Evaluating Copositivity Patterns in Fragrance/Botanical Patch Testing through Hierarchical Clustering and Network Analysis
Abstract: Background: Fragrances/botanicals are ubiquitous allergens. Patients allergic to one fragrance/botanical are frequently sensitive to other fragrances/botanicals and are typically counseled to avoid all fragrances/botanicals. However, broad avoidance of all fragrances/botanicals may not be clinically necessary. Objectives: We examined copositivity patterns in fragrance/botanical patch testing. Methods: The Mayo Clinic patch test database was queried for pairwise copositivity rates for fragrances/botanicals between 1997 and 2022, representing a total of 43 allergens. Data analyzed included 4706 positive reactions out of 252,485 total patches applied to 15,864 patients. After background correction for general positivity, copositivity rates were organized through unsupervised hierarchical clustering to determine copositivity subgroups and then evaluated through network analysis. Results: After background correction, clustering revealed distinct copositivity subgroups: Fragrance Mix I– Myroxylon pereirae –limonene hydroperoxides–linalool hydroperoxides; Compositae Mix–sesquiterpene lactone–parthenolide; Fragrance Mix II–Lyral; lichen acid mix–treemoss extract; menthol– Mentha piperita ; narcissus–dandelion; and Santalum album –trans-anethole–tea tree–lemongrass–clove–turpentine– Rosa damascena – Lavandula – Geranium – Cananga odorata –neroli–bergamot. In addition, there were further isolated intergroup copositivity reactions seen in network analysis. Conclusions: Background correction followed by hierarchical clustering demonstrated the fragrance/botanical group can be divided into multiple copositivity subgroups. Combined with network analysis, patients with a positive patch test to one fragrance/botanical allergen may be preferentially guided to use specific other fragrances/botanicals.
Systematic Identification of Copositivity Groups in Standard Series Patch Testing Through Hierarchical Clustering
ImportancePatients are frequently copositive for multiple allergens simultaneously, either due to chemical similarity or simultaneous sensitization. A better understanding of copositivity groups would help guide contact avoidance.ObjectiveTo use patient data to systematically determine copositivity groups in the Mayo Clinic Standard Series.Design, Setting, and ParticipantsIn this retrospective cross-sectional analysis, the Mayo Clinic patch test database was queried for pairwise copositivity rates in the 80 allergen Mayo Clinic Standard Series between 2012 and 2021. Data were collected from 3 tertiary care sites of the Mayo Clinic Contact Dermatitis Group and a total of 5943 patients were included, comprising all patients undergoing patch testing to the Mayo Clinic Standard Series allergens.Main Outcomes and MeasuresCopositivity rates between every 2 allergens in the 80-allergen Mayo Clinic Standard Series were estimated. After background correction, copositivity rates were analyzed using unsupervised hierarchical clustering to systematically identify copositivity groups in an unbiased manner.ResultsOverall, 394 921 total patches were applied to 5943 patients (4164 [70.1%] women, 1776 [29.9%] men, with a mean [SD] age of 52.3 [18.8] years ), comprising 9545 positive reactions. After background correction based on overall positivity rates, hierarchical clustering revealed distinct copositivity groups. Many were supported by prior literature, including formaldehyde releasers, cobalt-nickel-potassium dichromate, acrylates, 3-dimethylaminopropylamine-amidoamine-oleamidopropyl dimethylamine, alkyl glucosides, budesonide-hydrocortisone-17-butyrate, certain fragrances, compositae-sesquiterpene lactone mix, mercapto mix-mercaptobenzothiazole, carba mix-thiuram mix, and disperse orange-p-phenylenediamine. However, novel associations were also found, including glutaraldehyde-sorbitan sesquioleate, benzalkonium chloride-neomycin-bacitracin, bronopol-methylchloroisothiazolinone-methylisothiazolinone, and benzoic acid-iodopropynyl butylcarbamate.Conclusions and RelevanceThis retrospective cross-sectional analysis found that copositivity rates varied between allergens; allergens with extremely high positivity rates demonstrated nonspecific copositivity to multiple other allergens. Background correction based on positivity rates followed by hierarchical clustering confirmed prior known copositivity groups, contaminants and/or excipients leading to copositivity, and novel associations to guide contact avoidance.
Female sex as a risk factor for penicillin drug allergy in the inpatient setting
Background: Penicillin is the most common reported drug allergy. Previous literature suggests that there is increased prevalence of penicillin drug allergy in female patients in the outpatient setting. However, this is poorly described in the inpatient setting. Objective: This study was performed to determine whether female sex is an independent risk factor for penicillin allergy in the inpatient setting. Methods: A retrospective review of electronic medical records (January 1, 2001-December 31, 2017) was performed for patients with a history of penicillin allergy who underwent penicillin skin testing (PST). Each chart review included the age at initial skin testing, sex, medications, and medical co-morbidities. The study was approved by the institutional review board. Results: 30,883 patients underwent PST with 29,354 and 1,529 occurring in the outpatient and inpatient setting respectively. 170 patients tested positive with a ≥ 5x5 wheal. Of the 170 positive patients, 122 were female (72%) and 48 were male (28%). 15 patients tested positive in the inpatient setting. Of the 1506 adult patients tested in the inpatient setting, 809 were female and 697 were male. 12 females (92.3%) and 1 one male (7.7%) tested positive with a ≥ 5x5 wheal (OR-10.5; 95% CI-1.4-80.8; p-value=0.02). 23 pediatric patients were tested in the inpatient setting. Two pediatric male patients were positive and no female pediatric patients tested positive (OR-1.7; 95% CI-0.5-5.9; p-value=0.5). Conclusion: In the inpatient setting, adult females are 10 times more likely to have a positive PST compared to males. Female sex may be a potential risk factor for objective penicillin drug allergy in the inpatient setting.